
The HCIHEALTH project aims to investigate and apply Human-Computer Interaction (HCI) techniques for the design and development of an innovative technological solution to improve well-being and mental health through technology. This paper describes the analysis performed to carry out the selection of sensors and IoT devices, reports the data analysis of the selected devices, and justifies their potential for the proposed application cases, outlining future lines of work to be explored.
HCIHEALTH. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for the development of non-economic R&D projects carried out in cooperation with companies during 2021 with 201.666,76€. File number: IMDEEA/2020/72
HCI, interaction, hcihealth, prototipe, mental health, 2021
HCI, interaction, hcihealth, prototipe, mental health, 2021
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
